Large-Scale Brain Networks Underlying Successful and Unsuccessful Encoding, Maintenance, and Retrieval of Everyday Scenes in Visuospatial Working Memory

Frontiers in Psychology
Valerio Santangelo, Cecile Bordier

Abstract

Recent research on working memory (WM) identified the contribution of several large-scale brain networks operating during WM tasks, such as the frontoparietal attention network (AN), the default mode network (DMN), and the salience network (SN). To date, however, the dynamical interplay among these networks is largely unexplored during successful or unsuccessful WM performance, especially with complex and ecological stimuli. Here we systematically characterized the selective contribution of these networks during a visuospatial WM task requiring the encoding, maintenance and retrieval of real-life scenes. While undergoing fMRI scans, participants were presented with everyday life visual scenes for 4 s (encoding phase). After a delay of 8 s (maintenance phase), participants were presented with a target-object extracted from the previous scene. Participants had to judge whether the target-object was presented at the same or in a different location compared to the original scene (retrieval phase) and then provide a confidence judgment. Using the independent component analysis (ICA), we found that subsequent remembering was associated with the activity of the AN at encoding, the attention and SN at maintenance, plus the visual netwo...Continue Reading

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Citations

May 21, 2020·Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology·Danhong WangHesheng Liu
Jan 10, 2021·Psychopharmacology·C J Healy
Apr 22, 2020·Neuropsychobiology·Demet GurlerAdrienne Carol Lahti

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Software Mentioned

Group ICA of fMRI Toolbox ( GIFT
MATLAB
ICASSO
BrainMap IC
BrainNet
Multivariate Granger Causality Toolbox ( MVGC
Stats on Beta Weights ” GIFT
Saliency Toolbox
GIFT

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